Differentiable Meta Multigraph Search with Partial Message Propagation on Heterogeneous Information Networks

[KDD 2021, Research Track] DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networks

An Efficient and Effective Framework for Session-based Social Recommendation

A curated list of papers and resources about multimodal learning on graphs.

Mamba SSM architecture

Simple, minimal implementation of the Mamba SSM in one file of PyTorch.

[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)

Official code for "Towards Better Utilzation of Multiple Views for Bundle Recommendation" (CIKM 24 Short)

An atlas of text-attributed graph datasets in the era of large graph and language model.

Handbook for Geometric Deep Learning with Intel Gaudi-v2 Devices

[NeurIPS 2024] Official code for "Neural Gaffer: Relighting Any Object via Diffusion"

The tutorial website for KDD 2024 tutorial Graph Machine Learning Meets Multi-Table Relational Data

Papers about large graph models.

Graph Neural Networks for Tabular Data Learning (GNN4TDL)

RelBench: Relational Deep Learning Benchmark

KDD23 - Classification of Edge-Dependent Labels of Nodes in Hypergraphs

ABCDE-NET: KAIST AI506 Final Project

A collection of papers on Graph Structural Learning (GSL)

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

TGN: Temporal Graph Networks

A curated list of resources for graph prompting methods

GIFT (ACL 2023) & MPC-BERT (ACL 2021) for Multi-Party Conversation Understanding